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Although large language models (LLMs) have achieved excellent performance in a variety of evaluation benchmarks, they still struggle in complex reasoning tasks which require specific knowledge and multi-hop reasoning. To improve the…

计算与语言 · 计算机科学 2023-11-07 Zhipeng Chen , Kun Zhou , Beichen Zhang , Zheng Gong , Wayne Xin Zhao , Ji-Rong Wen

With the promotion of chatgpt to the public, Large language models indeed showcase remarkable common sense, reasoning, and planning skills, frequently providing insightful guidance. These capabilities hold significant promise for their…

人工智能 · 计算机科学 2023-09-14 Siyao Zhang , Daocheng Fu , Zhao Zhang , Bin Yu , Pinlong Cai

Multimodal Vision Language Models (VLMs) have emerged as a transformative topic at the intersection of computer vision and natural language processing, enabling machines to perceive and reason about the world through both visual and textual…

计算机视觉与模式识别 · 计算机科学 2025-04-08 Zongxia Li , Xiyang Wu , Hongyang Du , Fuxiao Liu , Huy Nghiem , Guangyao Shi

The development of large language models (LLMs), such as GPT, has enabled the construction of several socialbots, like ChatGPT, that are receiving a lot of attention for their ability to simulate a human conversation. However, the…

计算与语言 · 计算机科学 2025-01-22 Yankai Zeng , Abhiramon Rajashekharan , Kinjal Basu , Huaduo Wang , Joaquín Arias , Gopal Gupta

Recent advancements in multimodal techniques open exciting possibilities for models excelling in diverse tasks involving text, audio, and image processing. Models like GPT-4V, blending computer vision and language modeling, excel in complex…

计算与语言 · 计算机科学 2023-10-20 Xiang Zhang , Senyu Li , Zijun Wu , Ning Shi

Artificial intelligence has been around for a while, but suddenly it has received more attention than ever before. Thanks to innovations from companies like Google, Microsoft, Meta, and other major brands in technology. OpenAI, though, has…

计算机与社会 · 计算机科学 2024-03-26 Md. Asraful Haque , Shuai Li

This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support. Unlike generic chatbots, ChatCounselor is distinguished by its foundation in real conversations between consulting clients…

计算与语言 · 计算机科学 2023-09-28 June M. Liu , Donghao Li , He Cao , Tianhe Ren , Zeyi Liao , Jiamin Wu

With the rapid development of large language models, AI assistants like ChatGPT have become increasingly integrated into people's works and lives but are limited in personalized services. In this paper, we present a plug-and-play framework…

计算与语言 · 计算机科学 2024-10-15 Ruifeng Yuan , Shichao Sun , Yongqi Li , Zili Wang , Ziqiang Cao , Wenjie Li

The proliferation of Large Language Models like ChatGPT has significantly advanced language understanding and generation, impacting a broad spectrum of applications. However, these models predominantly excel in text-based tasks, overlooking…

计算与语言 · 计算机科学 2023-11-23 Xiao Liu , Jianfeng Lin , Jiawei Zhang

We present a method for augmenting a Large Language Model (LLM) with a combination of text and visual data to enable accurate question answering in visualization of scientific data, making conversational visualization possible. LLMs…

人机交互 · 计算机科学 2025-01-17 Omar Mena , Alexandre Kouyoumdjian , Lonni Besançon , Michael Gleicher , Ivan Viola , Anders Ynnerman

Conversational machine comprehension (MC) has proven significantly more challenging compared to traditional MC since it requires better utilization of conversation history. However, most existing approaches do not effectively capture…

计算与语言 · 计算机科学 2020-07-16 Yu Chen , Lingfei Wu , Mohammed J. Zaki

Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry…

计算与语言 · 计算机科学 2023-10-13 Siyuan Brandon Loh , Aravind Sesagiri Raamkumar

Large Language Models (LLMs) are increasingly used in complex knowledge work, yet linear transcript interfaces limit support for reflection. Schon's Reflective Practice distinguishes between reflection-in-action (during a task) and…

人机交互 · 计算机科学 2025-12-30 Geoff Kimm , Linus Tan

In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital human applications that instruction finetunes on a wide range of dialogue tasks in a unified internet-augmented format. Different from other open-domain…

Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi-turn conversations out-of-the-box, making them attractive materials for chatbot design. Further, designers can improve LLM chatbot utterances by prepending textual…

人机交互 · 计算机科学 2023-02-08 J. D. Zamfirescu-Pereira , Bjoern Hartmann , Qian Yang

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

计算与语言 · 计算机科学 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next,…

计算与语言 · 计算机科学 2023-09-07 Ou Zheng , Mohamed Abdel-Aty , Dongdong Wang , Zijin Wang , Shengxuan Ding

With the rise of social media platforms, especially X.com (formerly Twitter), there is a growing interest in understanding digital social networks and human digital interactions. This paper presents a comprehensive methodology for…

社会与信息网络 · 计算机科学 2024-07-08 Nicole Jess , Hasan Gokberk Bayhan

Multimodal large language models (MLLMs) have shown remarkable performance in vision-language tasks. However, existing MLLMs are primarily trained on generic datasets, limiting their ability to reason on domain-specific visual cues such as…

计算机视觉与模式识别 · 计算机科学 2025-07-15 Hatef Otroshi Shahreza , Sébastien Marcel